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Technical Committee on Information-Based Induction Sciences and Machine Learning (IBISML)  (Searched in: 2010)

Search Results: Keywords 'from:2010-11-04 to:2010-11-04'

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Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Ascending)
 Results 1 - 20 of 44  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
IBISML 2010-11-04
15:00
Tokyo IIS, Univ. of Tokyo [Poster Presentation] The Digital Information Yields Human Evolution -- A Digital Network Mechanism of Automata consisting of Digital Demodulation, Source Coding and Channel Coding. --
Kimiaki Tokumaru (System Engineer) IBISML2010-60
The author visited Cave No.3 of the Klasies River Mouth Caves along the Indian Ocean coast of Eastern Cape Province of R... [more] IBISML2010-60
pp.1-12
IBISML 2010-11-04
15:00
Tokyo IIS, Univ. of Tokyo [Poster Presentation] Methods of Cross-Domain Object Matching
Makoto Yamada, Masashi Sugiyama (Tokyo Inst. of Tech.) IBISML2010-61
The goal of \emph{cross-domain object matching} (CDOM) is to find correspondence between two sets of objects in differen... [more] IBISML2010-61
pp.13-18
IBISML 2010-11-04
15:00
Tokyo IIS, Univ. of Tokyo [Poster Presentation] Extracting semantic orientations using lexical networks -- Performance improvement from the viewpoint of statistical mechanics --
Takuma Goto, Yoshiyuki Kabashima, Hiroya Takamura (Tokyo Tech) IBISML2010-62
We propose a method for improving the performance of the polarity lexicon extraction based on a spin model. In the schem... [more] IBISML2010-62
pp.19-25
IBISML 2010-11-04
15:00
Tokyo IIS, Univ. of Tokyo [Poster Presentation] Phase Transition Structure in Variational Bayes Learning of Bernoulli Mixture
Daisuke Kaji (Tokyo tech), Kazuho Watanabe (NAIST), Sumio Watanabe (Tokyo tech) IBISML2010-63
(Advance abstract in Japanese is available) [more] IBISML2010-63
pp.27-31
IBISML 2010-11-04
15:00
Tokyo IIS, Univ. of Tokyo [Poster Presentation] A Unified Framework of Density Ratio Estimation under Bregman Divergence
Masashi Sugiyama (Tokyo Inst. of Tech.), Taiji Suzuki (Univ. of Tokyo), Takafumi Kanamori (Nagoya Univ.) IBISML2010-64
Estimation of the ratio of probability densities has attracted a great deal of attention
since it can be used for addre... [more]
IBISML2010-64
pp.33-44
IBISML 2010-11-04
15:00
Tokyo IIS, Univ. of Tokyo [Poster Presentation] A Study of Extracting Personally Meaningful Places from Sparse Location Histories
Mori Kurokawa, Hiroyuki Yokoyama (KDDI R&D Labs.), Kazuyoshi Yoshii, Hideki Asoh (AIST) IBISML2010-65
(Advance abstract in Japanese is available) [more] IBISML2010-65
pp.45-49
IBISML 2010-11-04
15:00
Tokyo IIS, Univ. of Tokyo [Poster Presentation] Probabilistic Inference by minimizing the TRW Free Energy using CCCP
Yu Nishiyama (RIKEN), Xingyao Ye, Alan L. Yuille (UCLA) IBISML2010-66
We propose a family of convergent double-loop algorithms which minimize the TRW free energy. These algorithms are based ... [more] IBISML2010-66
pp.51-58
IBISML 2010-11-04
15:00
Tokyo IIS, Univ. of Tokyo [Poster Presentation] Advanced Susceptibility Propagation
Muneki Yasuda, Kazuyuki Tanaka (Tohoku Univ.) IBISML2010-67
Inferences in Markov random fields are ones of the most important problems in information science.
Susceptibility prop... [more]
IBISML2010-67
pp.59-63
IBISML 2010-11-04
15:00
Tokyo IIS, Univ. of Tokyo [Poster Presentation] An Application of Generalized Linear Model for Recommender System -- Rating Estimation Based on Main-Effect Model --
Yu Fujimoto (Aoyama Gakuin Univ.) IBISML2010-68
Collaborative filtering based on a rating matrix is broadly used in recommender systems. In a practical situation, the m... [more] IBISML2010-68
pp.65-71
IBISML 2010-11-04
15:00
Tokyo IIS, Univ. of Tokyo [Poster Presentation] Boosting for density estimation based on U loss function
Osamu Komori (ISM), Kanta Naito (S.U.), Shinto Eguchi (ISM) IBISML2010-69
In this paper, we propose a class of methods for density estimation by boosting technique. By the iterative minimization... [more] IBISML2010-69
pp.73-82
IBISML 2010-11-04
15:00
Tokyo IIS, Univ. of Tokyo [Poster Presentation] A Study on Simultaneous Feature Selection for Cost-Sensitive Classifiers Using Mixed-Norm Regularization
Toru Sugiura, Kazuaki Koide, Tatsuya Hongo, Masayuki Karasuyama, Ichiro Takeuchi (NIT) IBISML2010-70
Cost-sensitive learning is useful for binary classification when the
costs of miss-classifications are not symmetric. I... [more]
IBISML2010-70
pp.83-90
IBISML 2010-11-04
15:00
Tokyo IIS, Univ. of Tokyo [Poster Presentation] Image Segmentation by Region-Based Latent Variables and Belief Propagation
Ryota Hasegawa, Seiji Miyoshi (Kansai Univ.), Masato Okada (Univ. of Tokyo) IBISML2010-71
To represent edges in image processing based on Bayesian inference, it is very effective to introduce latent variables. ... [more] IBISML2010-71
pp.91-97
IBISML 2010-11-04
15:00
Tokyo IIS, Univ. of Tokyo [Poster Presentation] Efficient Implementation of Greedy Cover Learning by Hyper-Rectangles and Its Classification Performance Evaluation Using Real Data
Koji Ouchi, Atsuyoshi Nakamura, Mineichi Kudo (Hokkaido Univ.) IBISML2010-72
Blumer et al. showed that
the class of concepts represented by finite unions
of hyper-rectangles
in $d$-dimensional ... [more]
IBISML2010-72
pp.99-104
IBISML 2010-11-04
15:00
Tokyo IIS, Univ. of Tokyo [Poster Presentation] Hierarchical topic trajectory model for video annotation retrieval considering cross-modal co-occurrences
Takuho Nakano (Univ. Tokyo), Akisato Kimura, Hirokazu Kameoka (NTT), Shigeki Miyabe, Shigeki Sagayama, Nobutaka Ono (Univ. Tokyo), Kunio Kashino (NTT), Takuya Nishimoto (Univ. Tokyo) IBISML2010-73
This paper deals with a problem of ``video annotation retrieval'' that achieves automatic video annotaion (providing rel... [more] IBISML2010-73
pp.105-112
IBISML 2010-11-04
15:00
Tokyo IIS, Univ. of Tokyo [Poster Presentation] Learning Evaluation Functions for Shogi Using SVM-based Bipartite Ranking Learning
Daiki Suehiro, Kohei Hatano, Hideo Bannai, Eiji Takimoto, Masayuki Takeda (Kyushu Univ.) IBISML2010-74
Recently, automatic optimization of parameters by applying machine learning methods has become a mainstream approach for... [more] IBISML2010-74
pp.113-118
IBISML 2010-11-04
15:00
Tokyo IIS, Univ. of Tokyo [Poster Presentation] Multilayer Sequence Labeling
Ai Azuma, Yuji Matsumoto (NAIST) IBISML2010-75
Sequence labeling has wide application areas such as natural language processing. In real world tasks, we often need to ... [more] IBISML2010-75
pp.119-126
IBISML 2010-11-04
15:00
Tokyo IIS, Univ. of Tokyo [Poster Presentation] Anomaly Detection of Sequence Data Based on T-information
Ulrich Speidel (Univ. of Auckland), Stefan Jan Skudlarek, Hirosuke Yamamoto (Univ. of Tokyo) IBISML2010-76
The application of anomaly detection to malfunction and misuse detection is an area of intense research, especially with... [more] IBISML2010-76
pp.127-134
IBISML 2010-11-04
15:00
Tokyo IIS, Univ. of Tokyo [Poster Presentation] Quantum Error Correction with Non-Binary LDPC Codes
Kenta Kasai (Tokyo Inst. of Tech.), Manabu Hagiwara (AIST), Hideki Imai (Chuo Univ.), Kohichi Sakaniwa (Tokyo Inst. of Tech.) IBISML2010-77
Quantum error correction is used in quantum computing and quantum communications to protect quantum information from qua... [more] IBISML2010-77
pp.135-145
IBISML 2010-11-04
15:00
Tokyo IIS, Univ. of Tokyo [Poster Presentation] Index Type Full-Text Search Support System Using Self-Organizing Map
Takahito Kuniyoshi, Tomoko Ozeki (Tokai Univ.) IBISML2010-78
This study is aimed for imprevent of the search efficiency by performing a dynamic classification for matched pages to q... [more] IBISML2010-78
pp.147-150
IBISML 2010-11-04
15:00
Tokyo IIS, Univ. of Tokyo [Poster Presentation] On regression problem for paths on networks
Tsuyoshi Ide (IBM) IBISML2010-79
(Advance abstract in Japanese is available) [more] IBISML2010-79
pp.151-154
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